Spark 使用 JindoSDK 在 IDE 开发调试§

目前 JindoSDK 支持主流 Intel X86 的 Linux 和 Mac（不支持 Windows系统）

在 maven pom.xml 中添加 JindoSDK 的依赖

<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.aliyun.jindodata</groupId>
    <artifactId>jindo-sdk-example</artifactId>
    <version>1.0</version>

    <properties>
        <jindodata.version>6.7.5</jindodata.version>
        <hadoop.version>2.8.5</hadoop.version>
    </properties>

    <repositories>
        <!-- Add JindoData Maven Repository -->
        <repository>
            <id>jindodata</id>
            <url>https://jindodata-binary.oss-cn-shanghai.aliyuncs.com/mvn-repo/</url>
        </repository>
    </repositories>

    <dependencies>
        <!-- add jindo-core -->
        <dependency>
            <groupId>com.aliyun.jindodata</groupId>
            <artifactId>jindo-core</artifactId>
            <version>${jindodata.version}</version>
        </dependency>

        <!-- add jindo-core-extended-jar if you need support other platform -->

        <!-- add jindo-hadoop-sdk -->
        <dependency>
            <groupId>com.aliyun.jindodata</groupId>
            <artifactId>jindo-sdk</artifactId>
            <version>${jindodata.version}</version>
        </dependency>

        <!-- add hadoop dependency. -->
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>${hadoop.version}</version>
        </dependency>
    </dependencies>
</project>

然后您可以编写Java程序使用SDK

import org.apache.spark.sql.SparkSession;
public class TestJindoSDK {
  public static void main(String[] args) throws Exception {
    SparkSession spark = SparkSession
        .builder()
        .config("spark.hadoop.fs.AbstractFileSystem.oss.impl", "com.aliyun.jindodata.oss.OSS")
        .config("spark.hadoop.fs.oss.impl", "com.aliyun.jindodata.oss.JindoOssFileSystem")
        .config("spark.hadoop.fs.oss.accessKeyId", "xxx")
        .config("spark.hadoop.fs.oss.accessKeySecret", "xxx")
        // set accessKey, secret, endpoint and so on.
        .appName("TestJindoSDK")
        .getOrCreate();
    spark.read().parquet("oss://bucket.endpoint/xxx").count();
    spark.stop();
  }
}

其他平台依赖

<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <!-- ... --> 

    <dependencies> 
        <!-- add jindo-core-extended-jar for macos -->
        <dependency>
            <groupId>com.aliyun.jindodata</groupId>
            <artifactId>jindo-core-macos-11_0-x86_64</artifactId>
            <version>${jindodata.version}</version>
        </dependency>

        <dependency>
            <groupId>com.aliyun.jindodata</groupId>
            <artifactId>jindo-core-macos-11_0-aarch64</artifactId>
            <version>${jindodata.version}</version>
        </dependency>

        <!-- add jindo-core-extended-jar for centos6 or el6 -->
        <dependency>
            <groupId>com.aliyun.jindodata</groupId>
            <artifactId>jindo-core-linux-el6-x86_64</artifactId>
            <version>${jindodata.version}</version>
        </dependency>

        <!-- add jindo-core-extended-jar for ubuntu22 -->
        <dependency>
            <groupId>com.aliyun.jindodata</groupId>
            <artifactId>jindo-core-linux-ubuntu22-x86_64</artifactId>
            <version>${jindodata.version}</version>
        </dependency>

        <!-- add jindo-core-extended-jar for aliyun yitian & alios (beta)-->
        <dependency>
            <groupId>com.aliyun.jindodata</groupId>
            <artifactId>jindo-core-linux-el7-aarch64</artifactId>
            <version>${jindodata.version}</version>
        </dependency>

        </dependencies>
</project>